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52 lines
1.5 KiB
Python
52 lines
1.5 KiB
Python
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from opencompass.openicl.icl_prompt_template import PromptTemplate
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from opencompass.openicl.icl_retriever import ZeroRetriever
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from opencompass.openicl.icl_inferencer import GenInferencer
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from opencompass.openicl.icl_evaluator import AccEvaluator
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from opencompass.datasets import CslDatasetV2
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from opencompass.utils.text_postprocessors import first_capital_postprocess
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csl_reader_cfg = dict(
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input_columns=['abst', 'keywords'],
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output_column='label',
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)
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csl_infer_cfg = dict(
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prompt_template=dict(
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type=PromptTemplate,
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template=dict(round=[
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dict(
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role='HUMAN',
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prompt=
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'摘要：{abst}\n关键词：{keywords}\n上述关键词出现在学术期刊中是否恰当？\nA. 否\nB. 是\n请从”A“，”B“中进行选择。\n答：'
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)
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]),
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),
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retriever=dict(type=ZeroRetriever),
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inferencer=dict(type=GenInferencer),
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)
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csl_eval_cfg = dict(
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evaluator=dict(type=AccEvaluator),
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pred_role='BOT',
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pred_postprocessor=dict(type=first_capital_postprocess),
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)
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csl_datasets = [
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dict(
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abbr='csl_dev',
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type=CslDatasetV2,
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path='./data/FewCLUE/csl/dev_few_all.json',
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reader_cfg=csl_reader_cfg,
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infer_cfg=csl_infer_cfg,
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eval_cfg=csl_eval_cfg,
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),
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dict(
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abbr='csl_test',
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type=CslDatasetV2,
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path='./data/FewCLUE/csl/test_public.json',
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reader_cfg=csl_reader_cfg,
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infer_cfg=csl_infer_cfg,
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eval_cfg=csl_eval_cfg,
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),
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]
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